Digi-Key Offers Help with Design Efficiency at embedded world 2019
During embedded world 2019 in Nuremberg, Germany Digi-Key Electronics, a global electronic components distributor, will…
During embedded world 2019 in Nuremberg, Germany Digi-Key Electronics, a global electronic components distributor, will…
Microchip announces the new PolarFire™ FPGA imaging and video solution to address the challenges of…
See wearable healthcare, IoT and security demos that will inspire big thinking for small designs
Peratech is demonstrating QTC EDGE at Mobile World Congress in meeting room 7O70MR (Hall 7, Row O – UK Exhibitor Section)
Here at DesignSpark we are always keen to bring you exciting and relevant products, the…
Many promises of great value are currently linked to machine learning or self-learning algorithms. Big data and great computing power are required to see them come to fruition. For sensor applications in predictive maintenance, an ARM®-based microcontroller may be sufficient to implement AI algorithms. This has been demonstrated by Andreas Mangler, Director Strategic Marketing & Communications at Rutronik, together with his engineering team.
Embedded Artificial Intelligence (e-AI) Technology The evolution of artificial intelligence (AI) technologies such as machine…
Securing a microcontroller-based application for the IoT can be tricky. Security starts at the hardware…
Early proponents of the Internet of Things (IoT) took the centralized network approach that had…
Core Independent Peripherals (CIPs) are autonomous, interconnected and intelligent peripherals. With CIPs the microcontroller doesn’t need to interact with the Central Processing Unit (CPU) to executing tasks. This equals several advantages for the application.